Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49753, first published .
Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study

Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study

Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study

Journals

  1. Ward J, Peretti-Watel P, Dubé E, Verger P, Attwell K. Context matters: How to research vaccine attitudes and uptake after the COVID-19 crisis. Human Vaccines & Immunotherapeutics 2024;20(1) View
  2. Coleman B, Gutmanis I, Bondy S, Harrison R, Langley J, Fischer K, Cooper C, Valiquette L, Muller M, Powis J, Bowdish D, Katz K, Loeb M, Smieja M, McNeil S, Mubareka S, Nadarajah J, Arnoldo S, McGeer A. Canadian health care providers' and education workers' hesitance to receive original and bivalent COVID-19 vaccines. Vaccine 2024;42(24):126271 View
  3. Albarrak K, Sorour S. Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions. Systems 2024;12(11):475 View
  4. Hong S, Son Y, Lee M, Lee J, Park J, Lee H, Dragioti E, Fond G, Boyer L, López Sánchez G, Smith L, Tully M, Rahmati M, Choi Y, Lee Y, Yeo S, Woo S, Yon D. Association Between Sociodemographic Factors and Vaccine Acceptance for Influenza and SARS-CoV-2 in South Korea: Nationwide Cross-Sectional Study. JMIR Public Health and Surveillance 2024;10:e56989 View
  5. Li M, Sun C, Ji C, Gao M, Wang X, Yao D, Guo J, Sun L, Rafay A, George A, Muhandiramge S, Bai G. Vaccine Hesitancy and Associated Factors Among Caregivers of Children With Special Health Care Needs in the COVID-19 Era in China: Cross-Sectional Study. JMIR Public Health and Surveillance 2025;11:e67487 View